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Wood, James; Smith, Stuart J; Castellanos-Uribe, Marcos; Lourdusamy, Anbarasu; May, Sean T; Barrett, David A; Grundy, Richard G; Kim, Dong-Hyun; Rahman, Ruman
Metabolomic characterisation of the glioblastoma invasive margin reveals a region-specific signature Journal Article
In: Heliyon, vol. 11, no. 1, pp. e41309, 2025.
Abstract | Links | Altmetric | Tags: Glioblastoma, Invasive margin, Liquid-chromatography mass spectrometry, Metabolomics
@article{Wood2025-dw,
title = {Metabolomic characterisation of the glioblastoma invasive margin reveals a region-specific signature},
author = {James Wood and Stuart J Smith and Marcos Castellanos-Uribe and Anbarasu Lourdusamy and Sean T May and David A Barrett and Richard G Grundy and Dong-Hyun Kim and Ruman Rahman},
doi = {10.1016/j.heliyon.2024.e41309},
year = {2025},
date = {2025-01-01},
urldate = {2025-01-01},
journal = {Heliyon},
volume = {11},
number = {1},
pages = {e41309},
publisher = {Elsevier BV},
abstract = {Isocitrate dehydrogenase wild-type glioblastoma (GBM) is
characterised by a heterogeneous genetic landscape resulting
from dynamic competition between tumour subclones to survive
selective pressures. Improvements in metabolite identification
and metabolome coverage have led to increased interest in
clinically relevant applications of metabolomics. Here, we use
liquid chromatography-mass spectrometry and gene expression
microarray to profile integrated intratumour metabolic
heterogeneity, as a direct functional readout of adaptive
responses of subclones to the tumour microenvironment.
Multi-region surgical sampling was performed on five adult GBM
patients based on pre-operative brain imaging and
fluorescence-guided surgery. Polar and hydrophobic metabolites
extracted from tumour fragments were assessed, followed by
putative assignment of metabolite identifications based on
retention times and molecular mass. Class discrimination between
tumour regions through showed clear separation of tumour regions
based on polar metabolite profiles. Metabolic pathway
assignments revealed several significantly altered metabolites
between the tumour core and invasive region to be associated
with purine and pyrimidine metabolism. This proof-of-principle
study assesses intratumour heterogeneity through mass
spectrometry-based metabolite profiling of multi-region
biopsies. Bioinformatic interpretation of the GBM metabolome has
highlighted the invasive region to be biologically distinct
compared to tumour core and revealed putative drug-targetable
metabolic pathways associated with purine and pyrimidine
metabolism.},
keywords = {Glioblastoma, Invasive margin, Liquid-chromatography mass spectrometry, Metabolomics},
pubstate = {published},
tppubtype = {article}
}
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